大学生网络成瘾及其与抑郁和失眠的关联研究。

Study of internet addiction and its association with depression and insomnia in university students.

作者信息

Jain Akhilesh, Sharma Rekha, Gaur Kusum Lata, Yadav Neelam, Sharma Poonam, Sharma Nikita, Khan Nazish, Kumawat Priyanka, Jain Garima, Maanju Mukesh, Sinha Kartik Mohan, Yadav Kuldeep S

机构信息

Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India.

Department of Ophthalmology, ESIC Model Hospital, Jaipur, Rajasthan, India.

出版信息

J Family Med Prim Care. 2020 Mar 26;9(3):1700-1706. doi: 10.4103/jfmpc.jfmpc_1178_19. eCollection 2020 Mar.

DOI:10.4103/jfmpc.jfmpc_1178_19

PMID:32509675

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7266242/

Abstract

INTRODUCTION

Use of internet has increased exponentially worldwide with prevalence of internet addiction ranging from 1.6% to 18 % or even higher. Depression and insomnia has been linked with internet addiction and overuse in several studies.

AIMS AND OBJECTIVES

Present study has looked in to pattern and prevalence of internet addiction in university students. This study has also explored the association of internet addiction with depression and insomnia.

MATERIAL AND METHODS

In this cross sectional study 954 subjects were enrolled who had been using internet for past 6 months. Information regarding pattern of use and socio demographic characteristics were recorded. Internet addiction Test (IAT), PHQ-9,and insomnia Severity Index (ISI) were applied to measure internet addiction, depression and insomnia respectively.

RESULTS

Among 954 subjects, 518 (60.59%) were male and 376 (39.41%) were female with mean age of 23.81 (SD ± 3.72). 15.51% study subjects were internet addicts and 49.19% were over users. Several parameters including graduation level, time spent per day on line, place of internet use, smoking and alcohol had significant association with internet addiction. Internet addiction was predominantly associated with depression and insomnia.

CONCLUSION

Internet addiction is a rising concern among youth. Several parameters including gender, time spent on line, alcohol, smoking predicts higher risk of internet addiction. Depression and insomnia are more common in internet addicts and overusers.

摘要